# northamerica_usa_nd001 - Burning Coal Vein - Breitenmoser Tree Ring Chronology Data #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. # # # Online_Resource: # # Original_Source_URL: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_nd001 - Burning Coal Vein - Breitenmoser Tree Ring Chronology Data #-------------------- # Investigators # Investigators: Breitenmoser, P.; Bronnimann, S.; Frank, D. #-------------------- # Description_and_Notes # Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details #-------------------- # Publication # Authors: Breitenmoser, P.; Bronnimann, S.; Frank, D. # Published_Date_or_Year: 2014-03-11 # Published_Title: Forward modelling of tree-ring width and comparison with a global network of tree-ring chronologies # Journal_Name: Climate of the Past # Volume: 10 # Edition: # Issue: # Pages: 437-449 # DOI: 10.5194/cp-10-437-2014 # Online_Resource: www.clim-past.net/10/437/2014/ # Full_Citation: # Abstract: We investigate relationships between climate and tree-ring data on a global scale using the process-based Vaganov–Shashkin Lite (VSL) forward model of tree-ring width formation. The VSL model requires as inputs only latitude, monthly mean temperature, and monthly accumulated precipitation. Hence, this simple, process-based model enables ring-width simulation at any location where monthly climate records exist. In this study, we analyse the growth response of simulated tree rings to monthly climate conditions obtained from the CRU TS3.1 data set back to 1901. Our key aims are (a) to assess the VSL model performance by examining the relations between simulated and observed growth at 2287 globally distributed sites, (b) indentify optimal growth parameters found during the model calibration, and (c) to evaluate the potential of the VSL model as an observation operator for data-assimilation-based reconstructions of climate from tree-ring width. The assessment of the growth-onset threshold temperature of approximately 4–6 C for most sites and species using a Bayesian estimation approach complements other studies on the lower temperature limits where plant growth may be sustained. Our results suggest that the VSL model skilfully simulates site level treering series in response to climate forcing for a wide range of environmental conditions and species. Spatial aggregation of the tree-ring chronologies to reduce non-climatic noise at the site level yielded notable improvements in the coherence between modelled and actual growth. The resulting distinct and coherent patterns of significant relationships between the aggregated and simulated series further demonstrate the VSL model’s ability to skilfully capture the climatic signal contained in tree-ring series. Finally, we propose that the VSL model can be used as an observation operator in data assimilation approaches to reconstruct past climate. #-------------------- # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: #-------------------- # Site_Information # Site_Name: Burning Coal Vein # Location: # Country: United States # Northernmost_Latitude: 46.6 # Southernmost_Latitude: 46.6 # Easternmost_Longitude: -103.47 # Westernmost_Longitude: -103.47 # Elevation: 792 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nd001B # Earliest_Year: 1623 # Most_Recent_Year: 1990 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"3.58344223297"}{"T2":"14.4589912969"}{"M1":"0.0233196739492"}{"M2":"0.523454369918"} #-------------------- # Species # Species_Name: ponderosa pine # Species_Code: PIPO #-------------------- # Chronology: # # # #-------------------- # Variables # # Data variables follow that are preceded by ## in columns one and two. # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) # ##age age, , ,years AD, , , , ,N ##trsgi tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N # #-------------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: nan # age trsgi 1623 1.295 1624 1.091 1625 1.567 1626 0.902 1627 0.756 1628 1.143 1629 0.804 1630 0.465 1631 0.625 1632 0.978 1633 1.385 1634 0.67 1635 1.037 1636 0.654 1637 0.165 1638 0.401 1639 0.479 1640 0.744 1641 1.229 1642 1.073 1643 0.535 1644 0.518 1645 0.526 1646 0.514 1647 0.633 1648 0.347 1649 0.261 1650 0.287 1651 0.989 1652 0.782 1653 0.518 1654 1.098 1655 0.982 1656 1.477 1657 0.911 1658 0.878 1659 1.255 1660 0.945 1661 0.641 1662 1.384 1663 1.045 1664 0.909 1665 1.24 1666 1.584 1667 1.859 1668 1.586 1669 1.982 1670 0.926 1671 1.06 1672 1.938 1673 1.606 1674 0.933 1675 1.264 1676 1.299 1677 0.876 1678 0.688 1679 1.247 1680 0.96 1681 1.001 1682 1.111 1683 1.449 1684 1.387 1685 1.221 1686 1.395 1687 1.418 1688 1.184 1689 0.901 1690 0.853 1691 1.032 1692 1.121 1693 0.78 1694 0.945 1695 1.047 1696 0.852 1697 0.912 1698 0.38 1699 0.791 1700 0.823 1701 0.775 1702 0.972 1703 0.977 1704 0.77 1705 0.678 1706 0.52 1707 0.87 1708 0.747 1709 1.261 1710 1.049 1711 0.853 1712 0.502 1713 1.014 1714 1.308 1715 1.288 1716 1.218 1717 1.142 1718 0.461 1719 0.79 1720 1.005 1721 0.453 1722 1.071 1723 1.139 1724 0.809 1725 0.557 1726 0.92 1727 1.101 1728 1.276 1729 1.486 1730 1.102 1731 1.024 1732 0.994 1733 1.326 1734 0.989 1735 0.978 1736 0.363 1737 0.981 1738 1.096 1739 0.839 1740 1.346 1741 0.906 1742 0.66 1743 0.828 1744 1.37 1745 1.573 1746 1.142 1747 0.867 1748 1.012 1749 1.212 1750 1.429 1751 1.034 1752 1.162 1753 1.098 1754 1.799 1755 1.411 1756 0.577 1757 0.44 1758 0.505 1759 0.415 1760 0.4 1761 0.907 1762 0.875 1763 0.804 1764 1.07 1765 0.675 1766 0.959 1767 1.5 1768 1.288 1769 1.346 1770 1.176 1771 1.308 1772 0.851 1773 0.994 1774 0.74 1775 1.134 1776 0.785 1777 0.953 1778 1.156 1779 0.969 1780 1.155 1781 1.031 1782 0.892 1783 0.861 1784 0.877 1785 0.589 1786 1.034 1787 1.054 1788 0.889 1789 0.786 1790 0.727 1791 0.559 1792 0.657 1793 1.024 1794 0.857 1795 1.063 1796 0.725 1797 1.094 1798 0.649 1799 0.748 1800 0.497 1801 0.862 1802 1.12 1803 1.031 1804 0.973 1805 0.994 1806 1.084 1807 0.723 1808 0.343 1809 0.717 1810 0.918 1811 0.839 1812 1.135 1813 1.205 1814 1.211 1815 1.188 1816 1.053 1817 0.336 1818 0.36 1819 0.697 1820 0.845 1821 1.344 1822 0.964 1823 0.358 1824 1.017 1825 1.396 1826 1.183 1827 1.015 1828 1.173 1829 1.25 1830 1.804 1831 1.126 1832 1.295 1833 1.148 1834 1.151 1835 1.508 1836 1.081 1837 1.125 1838 1.087 1839 0.933 1840 1.124 1841 0.726 1842 0.725 1843 1.238 1844 1.387 1845 1.255 1846 1.193 1847 0.535 1848 0.427 1849 0.776 1850 0.882 1851 1.321 1852 0.877 1853 1.342 1854 1.232 1855 0.846 1856 0.975 1857 1.238 1858 1.257 1859 0.905 1860 0.909 1861 0.881 1862 0.796 1863 0.354 1864 0.239 1865 0.164 1866 0.565 1867 0.674 1868 0.605 1869 0.441 1870 0.334 1871 0.672 1872 0.374 1873 0.721 1874 0.354 1875 0.284 1876 0.536 1877 0.859 1878 1.199 1879 1.403 1880 0.951 1881 0.828 1882 1.337 1883 1.192 1884 1.161 1885 1.324 1886 0.841 1887 0.651 1888 0.947 1889 0.659 1890 0.795 1891 1.126 1892 1.04 1893 0.786 1894 1.033 1895 0.949 1896 0.958 1897 0.715 1898 0.609 1899 0.487 1900 0.246 1901 0.467 1902 0.942 1903 0.758 1904 0.771 1905 0.698 1906 1.26 1907 1.528 1908 1.771 1909 2.105 1910 2.093 1911 1.489 1912 2.332 1913 1.583 1914 1.781 1915 2.014 1916 1.859 1917 1.169 1918 1.21 1919 0.729 1920 0.788 1921 0.632 1922 1.347 1923 0.962 1924 1.068 1925 1.26 1926 0.659 1927 1.451 1928 1.297 1929 1.114 1930 1.694 1931 1.331 1932 1.823 1933 1.427 1934 0.577 1935 0.835 1936 0.245 1937 0.603 1938 1.032 1939 0.816 1940 0.757 1941 1.14 1942 1.68 1943 1.285 1944 1.306 1945 1.686 1946 1.139 1947 1.873 1948 1.433 1949 0.526 1950 0.853 1951 0.715 1952 0.529 1953 0.828 1954 0.449 1955 0.952 1956 0.279 1957 0.985 1958 0.875 1959 0.464 1960 0.875 1961 0.594 1962 1.13 1963 1.071 1964 0.631 1965 1.326 1966 1.049 1967 1.055 1968 0.708 1969 1.218 1970 1.136 1971 1.351 1972 1.487 1973 0.983 1974 0.669 1975 1.069 1976 0.9 1977 0.356 1978 1.041 1979 0.614 1980 0.118 1981 0.82 1982 1.021 1983 0.882 1984 0.988 1985 0.414 1986 0.752 1987 0.653 1988 0.43 1989 0.472 1990 0.398